CN118174343A

CN118174343A - Micro-grid coordinated control method, device, system, storage medium and electronic equipment

Info

Publication number: CN118174343A
Application number: CN202410581312.XA
Authority: CN
Inventors: 霍超; 甄岩; 张冀川; 林佳颖; 白晖峰; 李蓉; 郑利斌; 张港红; 尹志斌; 刘浩
Original assignee: Beijing Smartchip Microelectronics Technology Co Ltd
Current assignee: Beijing Smartchip Microelectronics Technology Co Ltd
Priority date: 2024-05-11
Filing date: 2024-05-11
Publication date: 2024-06-11

Abstract

The invention provides a micro-grid coordinated control method, a micro-grid coordinated control device, a micro-grid coordinated control system, a storage medium and electronic equipment, and belongs to the technical field of micro-grids. Comprising the following steps: acquiring an initial value of a consistency variable, wherein the consistency variable is the incremental cost of each micro-grid unit in the micro-grid system; updating the consistency variable according to a preset improved consistency algorithm model based on the initial value of the consistency variable; based on the new consistency variable value, respectively calculating to obtain source side output power and load side required power of each micro-grid unit; judging whether the source-load-side optimal power deviation of each micro-grid unit meets preset requirements or not based on the source-side output power and the load-side required power of each micro-grid unit; and under the condition that the source-load side optimal power deviation of each micro-grid unit meets the preset requirement, regulating and controlling the energy storage charging and discharging operation modes of each micro-grid unit in the micro-grid system based on the new consistency variable value. And the coordination and optimization of distributed resources in the power regulation and control platform area are realized.

Description

Micro-grid coordinated control method, device, system, storage medium and electronic equipment

Technical Field

The invention relates to the technical field of micro-grids, in particular to a micro-grid coordination control method, a micro-grid coordination control device, a micro-grid coordination control system, a machine-readable storage medium and electronic equipment.

Background

With the construction of a novel power system, new elements such as distributed photovoltaic, energy storage and electric vehicle charging piles are connected, distributed photovoltaic explosion in a power distribution network grows, flexible loads are greatly developed, and the power distribution network contains massive adjustable resources and can be mainly divided into a source and a load, wherein the source comprises the distributed energy storage, the photovoltaic and the like, and the load comprises the electric vehicle and the temperature control load and the like.

After large-scale distributed photovoltaic access, because the photovoltaic resource enrichment area is usually in a remote area, the load cannot be completely absorbed, the distributed photovoltaic does not have the sending condition of a centralized photovoltaic power station, and the capacity of source load autonomy in a micro-grid, so that serious voltage out-of-limit, reverse heavy overload, poor electric energy quality and the like occur in a plurality of areas with weak distribution network conditions.

Therefore, the existing coordination control method of the power distribution network cannot realize coordination optimization of resources in the micro-grid under the scene of distributed photovoltaic explosion growth and large flexible load emergence.

Disclosure of Invention

The invention aims to provide a micro-grid coordination control method, a micro-grid coordination control device, a micro-grid coordination control system, a machine-readable storage medium and electronic equipment, wherein the micro-grid coordination control method can update incremental cost of each micro-grid unit through a preset improved consistency algorithm model, and meet the requirements of 'source' side output and 'load' side under optimal benefit, so that an energy storage charge-discharge operation mode is reasonably regulated and controlled, the photovoltaic consumption level and the capacity expansion regulation capacity of a platform area are improved, and the coordination optimization of distributed resources in the platform area through power regulation is realized.

In order to achieve the above object, a first aspect of the present application provides a coordinated control method for a micro-network, including:

acquiring an initial value of a consistency variable, wherein the consistency variable is the incremental cost of each micro-grid unit in the micro-grid system;

Updating the consistency variable according to a preset improved consistency algorithm model based on the initial value of the consistency variable to obtain a new consistency variable value;

based on the new consistency variable value, respectively calculating to obtain source side output power and load side required power of each micro-grid unit;

Judging whether the source-load-side optimal power deviation of each micro-grid unit meets preset requirements or not based on the source-side output power and the load-side required power of each micro-grid unit;

And under the condition that the source-load side optimal power deviation of each micro-grid unit meets the preset requirement, regulating and controlling the energy storage charging and discharging operation mode of each micro-grid unit in the micro-grid system based on the new consistency variable value.

In an embodiment of the present application, the method further includes:

and under the condition that the source-load side optimal power deviation of each micro-grid unit does not meet the preset requirement, jumping and executing to update the consistency variable according to a preset improved consistency algorithm model based on the initial value of the consistency variable to obtain a new consistency variable value.

In the embodiment of the present application, the preset improved consistency algorithm model is an improved consistency algorithm model that converges in a preset time, and the preset improved consistency algorithm model is expressed as:

，

Wherein, ，/>For initial time,/>For convergence time,/>For new consistency variable values, each micro-net has n micro-net units, node set V= {1, 2, … n }, edge set/>，/>Representing nodes/>And node/>Adjacent, and there is a communication channel between them, for node/>Neighbor set/>，/>For node/>And node/>Connection weight between,/>Is the circumference ratio,/>Is a natural constant,/>For node/>State variables in initial operating state,/>For node/>State variables in the initial operating state.

In the embodiment of the present application, based on the new consistency variable value, the calculating to obtain the source load side optimal power deviation of the micro-grid unit includes:

calculating to obtain the source side output power of the micro-grid unit according to a preset first power calculation formula based on the new consistency variable value;

And calculating the load side required power of the micro-grid unit according to a preset second power calculation formula based on the new consistency variable value.

In the embodiment of the present application, the preset first power calculation formula is:

，

Wherein, For/>New consistency variable value of individual micro-grid units,/>、/>Is the/>Charging pile source side cost function coefficient,/>For/>The source side of each micro-grid cell outputs power.

In the embodiment of the present application, the preset second power calculation formula is:

，

Wherein, For/>New consistency variable value of individual micro-grid units,/>、/>Is the/>Load-side benefit function coefficient of individual load,/>For/>The source side of each micro-grid cell outputs power.

In an embodiment of the present application, the obtaining the initial value of the consistency variable includes:

Based on a network communication topological structure formed by each micro-grid unit, constructing a state transition matrix by adopting a Metropolis method;

acquiring state variables of all nodes in all micro-grid units in an initial running state;

And calculating to obtain an initial value of the consistency increment cost based on the state variable of each node in the initial running state and the state transition matrix.

In the embodiment of the present application, the state transition matrix is:

，/>，

wherein, each micro-grid has n micro-grid units, a node set V= {1, 2, … n }, and an edge set ，/>Representing nodes/>And node/>Adjacent, and there is a communication channel between them, for node/>Neighbor setA is an adjacency matrix, A is an n-order matrix,/>Having a larger value of the number of neighbors for the home node,/>, for the neighbor nodeRepresenting and node/>Connected neighbor set,/>And/>Respectively node/>And node/>Is/are adjacent nodes of (1)For node/>And node/>The connection weight between them.

A second aspect of the present application provides a micro-grid coordination control device, including:

The acquisition module is used for acquiring an initial value of a consistency variable, wherein the consistency variable is the incremental cost of each micro-grid unit in the micro-grid system;

the updating module is used for updating the consistency variable according to a preset improved consistency algorithm model based on the initial value of the consistency variable to obtain a new consistency variable value;

the calculation module is used for respectively calculating the source side output power and the load side required power of each micro-grid unit based on the new consistency variable value;

The judging module is used for judging whether the source-load-side optimal power deviation of each micro-grid unit meets the preset requirement or not based on the source-side output power and the load-side required power of each micro-grid unit;

and the regulation and control module is used for regulating and controlling the energy storage charge and discharge operation modes of each micro-grid unit in the micro-grid system based on the new consistency variable value under the condition that the source-load side optimal power deviation of each micro-grid unit meets the preset requirement.

In an embodiment of the present application, the method further includes:

And the circulation module is used for jumping to execute updating the consistency variable according to a preset improved consistency algorithm model based on the initial value of the consistency variable under the condition that the source-load side optimal power deviation of each micro-grid unit does not meet the preset requirement, so as to obtain a new consistency variable value.

In an embodiment of the present application, the computing module includes:

The first calculation unit is used for calculating the source side output power of the micro-grid unit according to a preset first power calculation formula based on the new consistency variable value;

and the second calculation unit is used for calculating the load side required power of the micro-grid unit according to a preset second power calculation formula based on the new consistency variable value.

The third aspect of the application provides a micro-grid coordination control system, which comprises a plurality of micro-grid units, wherein the micro-grid coordination control system regulates and controls each micro-grid unit by adopting the micro-grid coordination control method.

In the embodiment of the application, each micro-grid unit comprises a fusion terminal, wherein the fusion terminal is used for acquiring an initial value of a consistency variable, and the consistency variable is the incremental cost of each micro-grid unit in a micro-grid system; updating the consistency variable according to a preset improved consistency algorithm model based on the initial value of the consistency variable to obtain a new consistency variable value; based on the new consistency variable value, respectively calculating to obtain source side output power and load side required power of each micro-grid unit; judging whether the source-load-side optimal power deviation of each micro-grid unit meets preset requirements or not based on the source-side output power and the load-side required power of each micro-grid unit; and under the condition that the source-load side optimal power deviation of each micro-grid unit meets the preset requirement, regulating and controlling the energy storage charging and discharging operation mode of each micro-grid unit in the micro-grid system based on the new consistency variable value.

In the embodiment of the application, each micro-grid unit further comprises an energy storage monitoring module and an energy storage integrated machine, wherein the fusion terminal and the energy storage integrated machine are respectively connected with the energy storage monitoring module, and the energy storage monitoring module is used for acquiring energy storage information of the micro-grid unit from the energy storage integrated machine and sending the energy storage information to the fusion terminal.

In the embodiment of the application, a sense on SoC chip is arranged in the energy storage monitoring module.

In the embodiment of the application, each micro-grid unit further comprises a charging pile ordered charging module, a charging pile and a network platform, wherein the charging pile ordered charging module is connected with the fusion terminal, the charging pile ordered charging module and the network platform are respectively connected with the charging pile, and the charging pile ordered charging module is used for acquiring charging electric quantity through the charging pile and the network platform, calculating the total charging electric quantity of the micro-grid unit based on the charging electric quantity, and sending the total charging electric quantity of the micro-grid unit to the fusion terminal.

In the embodiment of the application, each micro-grid unit further comprises a photovoltaic monitoring module, a photovoltaic grid-connected switch and an inverter, wherein the photovoltaic monitoring module is connected with the photovoltaic grid-connected switch, the photovoltaic grid-connected switch is connected with the inverter, the photovoltaic monitoring module is connected with the fusion terminal, and the photovoltaic monitoring module is used for acquiring photovoltaic electric energy information through the photovoltaic grid-connected switch and the inverter and sending the photovoltaic electric energy information to the fusion terminal.

In the embodiment of the application, a sense all-on SoC chip is arranged in the photovoltaic monitoring module.

A fourth aspect of the present application provides an electronic device comprising:

At least one processor;

a memory coupled to the at least one processor;

the memory stores instructions executable by the at least one processor, and the at least one processor implements the above-mentioned micro-grid coordination control method by executing the instructions stored in the memory.

A fifth aspect of the application provides a machine-readable storage medium having stored thereon instructions which, when executed by a processor, cause the processor to be configured to perform the above-described method of microgrid coordinated control.

According to the technical scheme, the initial value of the consistency variable is obtained, and the consistency variable is the increment cost of each micro-grid unit in the micro-grid system; updating the consistency variable according to a preset improved consistency algorithm model based on the initial value of the consistency variable to obtain a new consistency variable value; based on the new consistency variable value, respectively calculating to obtain source side output power and load side required power of each micro-grid unit; judging whether the source-load-side optimal power deviation of each micro-grid unit meets preset requirements or not based on the source-side output power and the load-side required power of each micro-grid unit; and under the condition that the source-load side optimal power deviation of each micro-grid unit meets the preset requirement, regulating and controlling the energy storage charging and discharging operation mode of each micro-grid unit in the micro-grid system based on the new consistency variable value. The source side output power and the load side demand power of each micro-grid unit are continuously calculated after the consistency variable is updated, and under the condition that the source load side optimal power deviation of each micro-grid unit meets the preset requirement, the energy storage charging and discharging operation mode of each micro-grid unit in the micro-grid system is regulated and controlled, so that the coordination and optimization of resources in the micro-grid are realized through the source load power regulation and control, and the coordination and optimization of the resources in the micro-grid can be realized under the conditions of distributed photovoltaic burst growth and large flexible load emergence. The incremental cost of each micro-grid unit can be updated through a preset improved consistency algorithm model, and the 'source' side output and 'load' side requirements under the optimal benefit are met, so that the energy storage charging and discharging operation mode is reasonably regulated and controlled, the photovoltaic absorption level and the capacity expansion and adjustment capacity of the platform area are improved, and the coordination and optimization of distributed resources in the platform area through power regulation and control are realized.

Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.

Drawings

The accompanying drawings are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain, without limitation, the embodiments of the invention. In the drawings:

Fig. 1 schematically illustrates a flowchart of a method for coordinated control of a micro network according to an embodiment of the present application;

FIG. 2 schematically illustrates a micro-grid pattern based on micro-grid elements in accordance with an embodiment of the application;

Fig. 3 schematically illustrates a micro-grid energy storage monitoring, charging pile ordered charging, photovoltaic monitoring architecture diagram according to an embodiment of the present application;

FIG. 4 schematically illustrates a sense-all SoC architecture design diagram in accordance with an embodiment of the present application;

fig. 5 schematically illustrates a structural diagram of a coordinated control apparatus for a micro network according to an embodiment of the present application;

fig. 6 schematically shows an internal structural view of a computer device according to an embodiment of the present application.

Description of the reference numerals

410-An acquisition module; 420-updating the module; 430-a calculation module; 440-judging module; 450-a regulatory module; a01-a processor; a02-a network interface; a03-an internal memory; a04-a display screen; a05-an input device; a06—a nonvolatile storage medium; b01-operating system; b02-computer program.

Detailed Description

The following describes the detailed implementation of the embodiments of the present invention with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.

Referring to fig. 1, fig. 1 schematically illustrates a flowchart of a coordinated control method of a micro network according to an embodiment of the present application. The embodiment provides a micro-grid coordination control method, which is used for realizing optimal scheduling of resources in each micro-grid unit in a micro-grid. In this embodiment, the micro-grid includes a plurality of micro-grid units, as shown in fig. 2, and fig. 2 schematically illustrates a micro-grid structure pattern based on the micro-grid units according to an embodiment of the present application. The system comprises a micro-grid unit 1, micro-grid units 2 and …, wherein each micro-grid unit is provided with a communication channel, and each micro-grid unit is respectively connected with a cloud master station. Each micro-grid unit comprises an active source and a load, wherein the source refers to distributed energy storage, photovoltaic and other equipment in the micro-grid unit, and the load refers to loads such as an electric automobile and a temperature control load in the micro-grid unit.

In order to realize optimal scheduling of resources in each micro-grid unit, the embodiment designs a novel consistency regulation algorithm, realizes 'source' side output and 'load' side demand under optimal benefit according to an iterative equation of increment cost of each unit, reasonably regulates and controls an energy storage charge-discharge operation mode, improves photovoltaic absorption level and capacity expansion and adjustment capacity of a platform region, and realizes coordination and optimization of resources in a power regulation micro-grid. When the optimal scheduling is performed, a source load of a fusion terminal in the micro-grid is taken as a unit, a consistency algorithm means that state variables tend to be consistent through limited interaction of information among all intelligent agents, the intelligent agents refer to an entity or software capable of independently thinking and interacting with the outside, and in the embodiment, the intelligent agents are equivalent to the micro-grid unit. References to consistent variables in this embodiment refer to variables that remain the same or consistent value or state under different conditions.

The micro-grid coordination control method comprises the following steps:

Step 210: acquiring an initial value of a consistency variable, wherein the consistency variable is the incremental cost of each micro-grid unit in the micro-grid system;

In this embodiment, the initial value of the consistency variable may be calculated by using a consistency algorithm expression according to a network communication topology structure formed by the micro-grid units. Consistency variables are often used to describe the ability of data to maintain consistency across different operations or processes, by using consistency variables, the correctness and stability of the system can be ensured.

In some embodiments, the obtaining the initial value of the consistency variable includes the steps of:

Firstly, constructing a state transition matrix by adopting a Metropolis method based on a network communication topological structure formed by each micro-grid unit;

Wherein, the state transition matrix is:

，/>，

In this embodiment, the network communication topology formed by each micro-grid unit is determined after the micro-grid is built. The Metropolis method is a random sampling algorithm of Monte Carlo simulation, the basic idea is that samples conforming to target distribution are generated through an acceptance-rejection strategy, and the samples conforming to the target distribution are finally obtained through continuous iterative updating of states. An accurate state transition matrix can be obtained by using the Metropolis method.

Then, acquiring state variables of all nodes in all micro-grid units in an initial running state;

in this embodiment, the initial value of each node is a known constant, determined by the communication structure and the power values, and the state constants of all nodes are a set. Such as: when the scheduling optimization of the 'source-load' coordination is executed, the power supply side in each node adopts a quadratic function expression as follows:

，

Wherein, As a cost function of the mth source side device,/>For the output power of the mth source side device,、/>And/>And the cost function coefficients of the mth charging pile are respectively set.

Accordingly, the quadratic function expression of the economic benefit model on the load side in the node is:

,

Wherein the method comprises the steps of As benefit function of kth load side equipment,/>Power consumed for the kth load side device,、/>The economic benefit coefficient of the load k.

The state variables of the nodes in the initial running state can be obtained by adopting the quadratic function expression on the power supply side and the quadratic function expression of the economic benefit model on the load side in the nodes.

And finally, calculating an initial value of the consistency increment cost based on the state variable of each node in the initial running state and the state transition matrix.

In this embodiment, the initial value of the calculated consistency increment cost may be calculated by the following formula: Wherein/> A is an adjacency matrix, A is an n-order matrix,/>For node/>And node/>Connection weight between,/>For node/>State variables in initial operating state,/>For node/>State variables in initial operating state,/>Is a consistent incremental cost.

Step 220: updating the consistency variable according to a preset improved consistency algorithm model based on the initial value of the consistency variable to obtain a new consistency variable value;

the preset improved consistency algorithm model is an improved consistency algorithm model converged in a preset time, and the preset improved consistency algorithm model is expressed as:

，

Wherein, ，/>For initial time,/>For convergence time,/>For new consistency variable values, each micro-net has n micro-net units, node set V= {1, 2, … n }, edge set/>，/>Representing nodes/>And node/>Adjacent, and there is a communication channel between them, for node/>Neighbor set/>，/>For node/>And node/>Connection weight between,/>For node/>State variables in initial operating state,/>For node/>State variables in initial operating state,/>Is a consistent incremental cost.

In this embodiment, T is a settable constant, the minimum of which depends on the range of control inputs, the communication topology and the worst initial state, and can be set by empirical values. By setting an improved consistency algorithm capable of converging in a limited time, the states of all the agents are consistent in T, and the method can improve the operation speed and reduce the communication quantity and the calculation quantity.

Step 230: based on the new consistency variable value, respectively calculating to obtain source side output power and load side required power of each micro-grid unit;

In this embodiment, by updating the consistency variable by improving the consistency algorithm model, a new consistency variable value in real time can be obtained, and when the consistency variable of the "source-load" side is equal in the local optimization of the distributed micro-grid unit according to the lagrangian multiplier and the KKT (Karush-Kuhn-turner) condition setting, the agent completes the optimization, that is, when the marginal cost of the "source-load" side of each distributed unit is identical in the case of satisfying the optimum "source-load" comprehensive benefit, the agent completes the optimization. Namely:

，

Wherein, And/>The marginal cost corresponding to the ith micro-grid unit, namely consistency variable value,/>, respectivelyIs the lagrangian factor at the optimum. /(I)For the cost function of the source side device of the ith micro-grid unit,/>For the benefit function of the load side equipment of the ith micro-grid unit,/>For the output power of the source side equipment of the ith micro-grid unit,/>Power consumed for the i-th microgrid element load side device. Thus, it is further possible to calculate the source-side optimal power deviation of each micro-grid unit at the new consistency variable value.

In some embodiments, the source side output power and the load side required power of the micro-grid unit are calculated based on the new consistency variable value, including the following steps:

Firstly, calculating the source side output power of a micro-grid unit according to a preset first power calculation formula based on the new consistency variable value;

the preset first power calculation formula is as follows:

，

In this embodiment, the first micro-grid unitThe cost function coefficient of the source side of the charging pile is a preset constant. The source side output power can be calculated by taking the new consistency variable value into the above formula.

Then, based on the new consistency variable value, calculating according to a preset second power calculation formula to obtain the load side required power of the micro-grid unit;

the preset second power calculation formula is as follows:

，

In the present embodiment, the first network elementThe load side benefit function coefficient of each load is a preset constant. The source side output power can be calculated by taking the new consistency variable value into the above formula.

Step 240: judging whether the source-load-side optimal power deviation of each micro-grid unit meets preset requirements or not based on the source-side output power and the load-side required power of each micro-grid unit;

In this embodiment, the source-load-side optimal power deviation of each micro-grid unit may be calculated based on the source-side output power and the load-side required power of each micro-grid unit. The source load side optimal power deviation of the micro-grid unit is as follows: Wherein/> For/>Source-load side optimal power deviation of individual micro-grid units,/>For/>Source side output power of individual micro-grid units,/>For/>The source side of each micro-grid cell outputs power. The optimal power deviation of the source load side of each micro-grid unit can be calculated through the steps.

When the 'source-load' side marginal cost of each distributed unit is consistent when the 'source-load' comprehensive benefit is optimal, the intelligent agent completes optimization, namely in ideal cases, if the current new consistency variable value is the optimal value, the 'source-load' side marginal cost is consistent, namely the optimal power deviation of the source-load side of each micro-grid unit is zero, a preset value can be set in consideration of errors, namely when the optimal power deviation of the source-load side of each micro-grid unit is within the preset value range, the preset requirement is met.

Step 250: and under the condition that the source-load side optimal power deviation of each micro-grid unit meets the preset requirement, regulating and controlling the energy storage charging and discharging operation mode of each micro-grid unit in the micro-grid system based on the new consistency variable value.

In this embodiment, if the preset value is set to，/>Representing a set of source-load side optimal power deviations of each micro-grid unit if/>And the source-load side optimal power deviation of each micro-grid unit meets the preset requirement, the intelligent agent completes optimization, the new consistency variable value is the optimal source-load comprehensive benefit, and then the energy storage charging and discharging operation mode of each micro-grid unit in the micro-grid system can be regulated and controlled based on the new consistency variable value, so that the coordination optimization of the resources in the power regulation micro-grid is realized.

In some embodiments, further comprising:

In the present embodiment, it is possible toAnd (3) as a convergence condition of consistency calculation, namely returning to continuously update the consistency variable until the source-load side optimal power deviation of each micro-grid unit meets the preset requirement under the condition that the source-load side optimal power deviation of each micro-grid unit does not meet the preset requirement.

In the implementation process, the initial value of the consistency variable is obtained, wherein the consistency variable is the increment cost of each micro-grid unit in the micro-grid system; updating the consistency variable according to a preset improved consistency algorithm model based on the initial value of the consistency variable to obtain a new consistency variable value; based on the new consistency variable value, respectively calculating to obtain source side output power and load side required power of each micro-grid unit; judging whether the source-load-side optimal power deviation of each micro-grid unit meets preset requirements or not based on the source-side output power and the load-side required power of each micro-grid unit; and under the condition that the source-load side optimal power deviation of each micro-grid unit meets the preset requirement, regulating and controlling the energy storage charging and discharging operation mode of each micro-grid unit in the micro-grid system based on the new consistency variable value. The source side output power and the load side demand power of each micro-grid unit are continuously calculated after the consistency variable is updated, and under the condition that the source load side optimal power deviation of each micro-grid unit meets the preset requirement, the energy storage charging and discharging operation mode of each micro-grid unit in the micro-grid system is regulated and controlled, so that the coordination and optimization of resources in the micro-grid are realized through the source load power regulation and control, and the coordination and optimization of the resources in the micro-grid can be realized under the conditions of distributed photovoltaic burst growth and large flexible load emergence. The incremental cost of each micro-grid unit can be updated through a preset improved consistency algorithm model, and the 'source' side output and 'load' side requirements under the optimal benefit are met, so that the energy storage charging and discharging operation mode is reasonably regulated and controlled, the photovoltaic absorption level and the capacity expansion and adjustment capacity of the platform area are improved, and the coordination and optimization of distributed resources in the platform area through power regulation and control are realized.

Fig. 1 is a flow chart of a coordinated control method of a micro network in an embodiment. It should be understood that, although the steps in the flowchart of fig. 1 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 1 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of other steps or sub-steps of other steps.

The embodiment also provides a micro-grid coordination control system, which comprises a plurality of micro-grid units, wherein the micro-grid regulation and control system regulates and controls each micro-grid unit by adopting the micro-grid coordination control method.

In this embodiment, the micro-network unit may use a source load of a fusion terminal in the micro-network as a unit, where the fusion terminal in each micro-network unit executes the program of the micro-network coordination control method to regulate each micro-network unit in the micro-network system. The micro-grid units can be respectively connected to the cloud master station, and the micro-grid coordination control method can be executed by the cloud master station to regulate and control the micro-grid units in the micro-grid system.

In the implementation process, the microgrid regulation and control system continuously calculates the source-load side optimal power deviation of each microgrid unit after updating the consistency variable, and regulates and controls the energy storage charge-discharge operation mode of each microgrid unit in the microgrid system under the condition that the source-load side optimal power deviation of each microgrid unit meets the preset requirement, so that the coordination and optimization of resources in the microgrid can be realized through the source-load power regulation and control under the scene that the distributed photovoltaic burst grows and the flexible load is largely developed. The incremental cost of each micro-grid unit can be updated through a preset improved consistency algorithm model, and the 'source' side output and 'load' side requirements under the optimal benefit are met, so that the energy storage charging and discharging operation mode is reasonably regulated and controlled, the photovoltaic absorption level and the capacity expansion and adjustment capacity of the platform area are improved, and the coordination and optimization of distributed resources in the platform area through power regulation and control are realized.

Referring to fig. 3, fig. 3 schematically illustrates a micro-grid energy storage monitoring, orderly charging of charging piles, and photovoltaic monitoring architecture diagram according to an embodiment of the present application. In some embodiments, each micro-grid unit includes a fusion terminal, where the fusion terminal is configured to obtain an initial value of a consistency variable, where the consistency variable is an incremental cost of each micro-grid unit in the micro-grid system; updating the consistency variable according to a preset improved consistency algorithm model based on the initial value of the consistency variable to obtain a new consistency variable value; based on the new consistency variable value, respectively calculating to obtain source side output power and load side required power of each micro-grid unit; judging whether the source-load-side optimal power deviation of each micro-grid unit meets preset requirements or not based on the source-side output power and the load-side required power of each micro-grid unit; and under the condition that the source-load side optimal power deviation of each micro-grid unit meets the preset requirement, regulating and controlling the energy storage charging and discharging operation mode of each micro-grid unit in the micro-grid system based on the new consistency variable value.

In this embodiment, the above-mentioned fusion terminal is responsible for collecting data to generate an optical storage and inflation algorithm, where the optical storage and inflation algorithm includes, but is not limited to, the above-mentioned micro-grid coordination control method, and meanwhile, the fusion terminal is further used to issue an execution instruction to each device in the micro-grid unit.

In the implementation process, the micro-grid coordination control method is executed through the fusion terminal, so that distributed optimal scheduling can be realized.

In some embodiments, each micro-grid unit further comprises an energy storage monitoring module and an energy storage integrated machine, the fusion terminal and the energy storage integrated machine are respectively connected with the energy storage monitoring module, and the energy storage monitoring module is used for acquiring energy storage information of the micro-grid unit from the energy storage integrated machine and sending the energy storage information to the fusion terminal.

In this embodiment, the energy storage monitoring module may be connected to the energy storage integrated machine to obtain energy storage information of the micro-grid unit, where the energy storage information includes electrical energy information, fault information, and the like. The energy storage monitoring module is cooperated with the fusion terminal to open the energy storage and the distribution network to be efficiently interconnected, so that energy storage panoramic monitoring and group regulation and group control are realized. The energy storage monitoring module integrates sensing, decision making and safety, realizes functions of electric energy metering, grid-connected control, fault early warning, intelligent decision making and the like, has high integration level and low cost, and fully plays a novel energy storage regulation role.

In some embodiments, each micro-grid unit further comprises a charging pile ordered charging module, a charging pile and a network platform, the charging pile ordered charging module is connected with the fusion terminal, the charging pile ordered charging module and the network platform are respectively connected with the charging pile, and the charging pile ordered charging module is used for obtaining charging electric quantity through the charging pile and the network platform, calculating the total charging electric quantity of the micro-grid unit based on the charging electric quantity, and sending the total charging electric quantity of the micro-grid unit to the fusion terminal.

In this embodiment, the network platform may be a car networking platform or an operator platform, and the charging electric quantity of the micro-grid unit may be obtained from a charging pile, and the charging pile obtains the charging electric quantity through the car networking platform or the operator platform, and then sends the charging electric quantity information to the charging pile ordered charging module, and the charging pile ordered charging module recalculates the charging electric quantity of the micro-grid unit.

The charging pile ordered charging module can support peak-shifting charging and ordered charging of the platform area, so that an electric quantity metering function is realized, and the charging precision requirement is met; the ordered charging requirement is met, and the power grid pressure of the transformer area is reduced; and the vehicle network interaction is participated, the development of the electric vehicle is served, and the construction of a novel power system mainly generating new energy is assisted.

In some embodiments, each micro-grid unit further includes a photovoltaic monitoring module, a photovoltaic grid-connected switch and an inverter, the photovoltaic monitoring module is connected with the photovoltaic grid-connected switch, the photovoltaic grid-connected switch is connected with the inverter, the photovoltaic monitoring module is connected with the fusion terminal, and the photovoltaic monitoring module is used for acquiring photovoltaic electric energy information through the photovoltaic grid-connected switch and the inverter and sending the photovoltaic electric energy information to the fusion terminal.

In this embodiment, the photovoltaic monitoring module obtains photovoltaic electric energy information through the photovoltaic grid-connected switch and the inverter, and then applies the electric energy quality and the distributed photovoltaic autonomous control algorithm, so that functions of electric energy metering, flexible control, electric energy quality monitoring and the like can be realized, and the photovoltaic monitoring module can replace equipment such as an electric energy meter, a protocol converter, an internet of things electric meter, an interface converter and the like in the existing scheme.

In some embodiments, the energy storage monitoring module is provided with a sense on SoC chip.

In some embodiments, a sense-all SoC chip is disposed in the photovoltaic monitoring module.

In this embodiment, please refer to fig. 4, fig. 4 schematically illustrates a sense-all SoC architecture design diagram according to an embodiment of the present application. The sense and compute through System on Chip (SoC) Chip integrates core functions such as high-performance master control, dual-mode communication, three-phase high-precision metering, hardware Real-Time Clock (RTC) and the like, and has the characteristics of high integration level, high reliability, low cost, miniaturization and the like. The chip resource is highly integrated, so that the cost of the terminal equipment can be greatly reduced, and the cost of part of the modules can be reduced by 40%. The system is provided with a lightweight hub operating system and different service Application programs (Application), can realize distributed photovoltaic and energy storage monitoring and management, has the characteristics of high integration level, low cost, flexible Application and the like, and improves the intensive management level. The sense all-pass SoC chip comprises a main control unit, a communication unit, an emulator (Emulator, EMU) metering unit and an external clock unit.

The main control unit adopts a dual-core processor to realize a core control function, hardware is based on SCM701 and SCM402 main control chip design, SCM701 adopts a Cortex-A7 architecture single-core 4-core processor, the main frequency is 1.2GHz, and the periphery integrates 1GB/2GB third generation double data rate memory (DDR 3 SDRAM) and 8GB FLASH (FLASH) memory, two paths of gigabit Ethernet and other external interfaces. The SCM402 has a main frequency of 200MHz, built-in floating point operation, a Digital Signal Processing (DSP) instruction set, a built-in 224K Static Random Access Memory (SRAM) and a 1MB program space, a peripheral integrated 4M Pseudo Static Random Access Memory (PSRAM) and an 8MB flash memory space, and can be used for caching data; the general-purpose input/output can be realized by configuration, such as input/output, external interrupt, pulse width modulation output, pulse width modulation capture, etc. The software is based on an autonomous controllable hub operating system and a real-time operating system: SCM701 adopts a pivot operating system, and adopts an application container engine (Docker container) and an autonomous programming technology to realize software and hardware decoupling and software APP; the SCM402 adopts a real-time operating system and a hard real-time kernel, the scheduling algorithm is advanced and efficient, the performance is strong, the task switching and interrupt response time reaches microsecond level, and the measurement and control instantaneity requirement is met.

The communication unit realizes a dual-mode communication function, and the overall hardware system architecture can be divided into: the device comprises a signal modulation/demodulation module, a carrier signal receiving and transmitting coupling module, a storage module, a power supply module and an interface circuit. Signal modulation/demodulation takes an SCF3202 dual-mode communication chip as a core to realize modulation and demodulation of signals; the signal receiving and transmitting coupling, the dual-mode signal realizes the receiving and transmitting of the signal through the receiving and transmitting filtering and coupling circuit; the storage module is used for realizing program storage; the power supply circuit supplies power to peripheral circuits such as a carrier chip, a memory chip and the like; the interface circuit mainly comprises a carrier module, an electric energy meter communication interface, a joint test working group (Joint Test Action Group, JTAG) debugging interface, a power line coupling interface and the like

The RN2026 chip adopted by the EMU metering unit is a multifunctional high-precision three-phase electric energy special metering and fault detection chip, is suitable for three-phase three-wire and three-phase four-wire application, and has a main frequency of 32.768MHz; memory: 256KBytes FLASH,48KB static random access memory; an interface: a three-phase metering and fault detection module, a metering precision self-detection module, a 4-path multiplexing successive approximation analog-digital converter (SAR ADC), a 7-path incremental analog-digital converter (sigma-delta ADC), a 9-path multiplexing general analog-digital converter (GP-ADC) and the like; analog-to-Digital Converter (ADC) ADC uses fully differential mode input, and the peak value of the maximum differential signal input of the current and voltage channels is ± 1000mV.

The external clock unit can provide stable and high-precision clock signals for the main control unit, so that the processing speed of the CPU is faster and more stable. The hardware platform is internally integrated with 2 external clock sources, wherein a 25MHz crystal oscillator high-speed clock source is mainly used for a system clock of the central processing unit, and a low-speed clock of 32.768KHz is mainly used for an RTC inside the central processing unit.

In the implementation process, the modules based on the sense all-on SoC chip are matched with the fusion terminal, so that the micro-grid energy storage monitoring and charging pile ordered charging and photovoltaic monitoring scheme can be realized. And collecting the running conditions of the power grid and the field equipment, collecting real-time information and adjustable capacity of a low-voltage distributed power supply and distributed energy storage by taking a transformer area and a 10kV line as units, generating and executing a regulation strategy, and realizing layered coordination control of a grid source, power-assisted clean energy consumption and energy aggregation regulation.

The embodiment provides a micro-grid coordination control device, which comprises an acquisition module 410, an update module 420, a calculation module 430, a judgment module 440 and a regulation and control module 450, wherein:

an obtaining module 410, configured to obtain an initial value of a consistency variable, where the consistency variable is an incremental cost of each micro-grid unit in the micro-grid system;

The updating module 420 is configured to update the consistency variable according to a preset improved consistency algorithm model based on the initial value of the consistency variable, so as to obtain a new consistency variable value;

the calculating module 430 is configured to calculate, based on the new consistency variable value, source side output power and load side required power of each micro-grid unit respectively;

A judging module 440, configured to judge whether the source-load-side optimal power deviation of each micro-grid unit meets a preset requirement based on the source-side output power and the load-side required power of each micro-grid unit;

And the regulation and control module 450 is used for regulating and controlling the energy storage charge and discharge operation modes of each micro-grid unit in the micro-grid system based on the new consistency variable value under the condition that the source-load side optimal power deviation of each micro-grid unit meets the preset requirement.

Wherein, still include:

Wherein the computing module 430 includes:

The micro-grid coordination control device comprises a processor and a memory, wherein the acquisition module 410, the updating module 420, the calculation module 430, the judging module 440, the regulating module 450 and the like are all stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.

The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The kernel can be provided with one or more than one kernel, and the coordination optimization of distributed resources in the power regulation and control platform area is realized by adjusting kernel parameters.

The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.

The embodiment of the invention provides a machine-readable storage medium, wherein a program is stored on the machine-readable storage medium, and the program is executed by a processor to realize the micro-grid coordination control method.

The embodiment of the invention provides a processor which is used for running a program, wherein the micro-grid coordination control method is executed when the program runs.

In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 6. The computer apparatus includes a processor a01, a network interface a02, a display screen a04, an input device a05, and a memory (not shown in the figure) which are connected through a system bus. Wherein the processor a01 of the computer device is adapted to provide computing and control capabilities. The memory of the computer device includes an internal memory a03 and a nonvolatile storage medium a06. The nonvolatile storage medium a06 stores an operating system B01 and a computer program B02. The internal memory a03 provides an environment for the operation of the operating system B01 and the computer program B02 in the nonvolatile storage medium a06. The network interface a02 of the computer device is used for communication with an external terminal through a network connection. The computer program, when executed by the processor a01, implements a method for coordinated control of a micro-grid. The display screen a04 of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device a05 of the computer device may be a touch layer covered on the display screen, or may be a key, a track ball or a touch pad arranged on a casing of the computer device, or may be an external keyboard, a touch pad or a mouse.

It will be appreciated by those skilled in the art that the structure shown in FIG. 6 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

In one embodiment, the micro-grid coordination control device provided by the application can be implemented as a form of a computer program, and the computer program can run on a computer device as shown in fig. 6. The memory of the computer device may store various program modules constituting the micro-grid coordination control apparatus, such as the acquisition module 410, the update module 420, the calculation module 430, the judgment module 440, and the regulation module 450 shown in fig. 5. The computer program constituted by the respective program modules causes the processor to execute the steps in the calling method of the file system of the respective embodiments of the present application described in the present specification.

The computer device shown in fig. 6 may perform step 210 through the acquisition module 410, the update module 420, the calculation module 430, the judgment module 440, and the regulation module 450 in the micro-grid coordination control apparatus shown in fig. 5, respectively, and perform step 220, step 230, step 240, and step 250, respectively.

The embodiment of the application provides equipment, which comprises a processor, a memory and a program stored in the memory and capable of running on the processor, wherein the processor realizes the following steps when executing the program:

In one embodiment, further comprising:

In one embodiment, the preset improved consistency algorithm model is an improved consistency algorithm model that converges within a preset time, and the preset improved consistency algorithm model is expressed as:

，

In one embodiment, calculating the source side output power and the load side required power of the micro-grid unit based on the new consistency variable value includes:

In one embodiment, the preset first power calculation formula is:

，/>

In one embodiment, the preset second power calculation formula is:

，

In one embodiment, the obtaining the initial value of the consistency variable includes:

In one embodiment, the state transition matrix is:

，/>，

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.

The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.

Claims

1. The micro-grid coordination control method is characterized by comprising the following steps of:

2. The micro-grid coordination control method according to claim 1, further comprising:

3. The micro-grid coordination control method according to claim 1, wherein the preset improved consistency algorithm model is an improved consistency algorithm model converged within a preset time, and the preset improved consistency algorithm model is expressed as:

，

Wherein, ，/>For initial time,/>For convergence time,/>For new consistency variable values, each micro-net has n micro-net units, node set V= {1, 2, … n }, edge set/>，/>Representing nodes/>And nodeAdjacent, and there is a communication channel between them, for node/>Neighbor set/>，/>For node/>And node/>Connection weight between,/>Is the circumference ratio,/>Is a natural constant,/>For node/>State variables in initial operating state,/>For node/>State variables in the initial operating state.

4. The method according to claim 1, wherein calculating the source side output power and the load side required power of the micro-grid unit based on the new consistency variable value includes:

5. The coordinated control method of a micro network according to claim 4, wherein the preset first power calculation formula is:

，

6. The coordinated control method of a micro network according to claim 4, wherein the preset second power calculation formula is:

，

7. The method for coordinated control of a micro-grid according to claim 1, wherein the obtaining the initial value of the consistency variable comprises:

8. The method for coordinated control of a micro-network according to claim 7, wherein the state transition matrix is:

，/>，

wherein, each micro-grid has n micro-grid units, a node set V= {1, 2, … n }, and an edge set ，Representing nodes/>And node/>Adjacent, and there is a communication channel between them, for node/>Neighbor setA is an adjacency matrix, A is an n-order matrix,/>Having a larger value of the number of neighbors for the home node,/>, for the neighbor nodeRepresenting and node/>Connected neighbor set,/>And/>Respectively node/>And node/>Is/are adjacent nodes of (1)For node/>And node/>The connection weight between them.

9. A micro-grid coordination control device, characterized by comprising:

10. The micro-grid coordination control device according to claim 9, further comprising:

11. The micro-grid coordination control device according to claim 9, wherein the calculation module includes:

12. A micro-grid coordination control system, characterized by comprising a plurality of micro-grid units, wherein the micro-grid coordination control system adopts the micro-grid coordination control method of any one of claims 1-8 to regulate each micro-grid unit.

13. The micro-grid coordination control system of claim 12, wherein each micro-grid unit comprises a fusion terminal, the fusion terminal is used for obtaining an initial value of a consistency variable, and the consistency variable is an incremental cost of each micro-grid unit in the micro-grid system; updating the consistency variable according to a preset improved consistency algorithm model based on the initial value of the consistency variable to obtain a new consistency variable value; based on the new consistency variable value, respectively calculating to obtain source side output power and load side required power of each micro-grid unit; judging whether the source-load-side optimal power deviation of each micro-grid unit meets preset requirements or not based on the source-side output power and the load-side required power of each micro-grid unit; and under the condition that the source-load side optimal power deviation of each micro-grid unit meets the preset requirement, regulating and controlling the energy storage charging and discharging operation mode of each micro-grid unit in the micro-grid system based on the new consistency variable value.

14. The micro-grid coordination control system according to claim 13, wherein each micro-grid unit further comprises an energy storage monitoring module and an energy storage integrated machine, the fusion terminal and the energy storage integrated machine are respectively connected with the energy storage monitoring module, and the energy storage monitoring module is used for acquiring energy storage information of the micro-grid unit from the energy storage integrated machine and sending the energy storage information to the fusion terminal.

15. The micro-grid coordination control system according to claim 14, wherein a sense on SoC chip is disposed in the energy storage monitoring module.

16. The micro-grid coordination control system according to claim 13, wherein each micro-grid unit further comprises a charging pile ordered charging module, a charging pile and a network platform, the charging pile ordered charging module is connected with the fusion terminal, the charging pile ordered charging module and the network platform are respectively connected with the charging pile, the charging pile ordered charging module is used for acquiring charging electric quantity through the charging pile and the network platform, calculating the total charging electric quantity of the micro-grid unit based on the charging electric quantity, and sending the total charging electric quantity of the micro-grid unit to the fusion terminal.

17. The microgrid coordinated control system according to claim 13, wherein each microgrid unit further comprises a photovoltaic monitoring module, a photovoltaic grid-connected switch and an inverter, wherein the photovoltaic monitoring module is connected with the photovoltaic grid-connected switch, the photovoltaic grid-connected switch is connected with the inverter, the photovoltaic monitoring module is connected with the fusion terminal, and the photovoltaic monitoring module is used for acquiring photovoltaic electric energy information through the photovoltaic grid-connected switch and the inverter and sending the photovoltaic electric energy information to the fusion terminal.

18. The micro-grid coordination control system according to claim 17, wherein a sense on SoC chip is disposed in the photovoltaic monitoring module.

19. An electronic device, comprising:

At least one processor;

a memory coupled to the at least one processor;

wherein the memory stores instructions executable by the at least one processor, the at least one processor implementing the micro-grid coordination control method of any one of claims 1 to 8 by executing the instructions stored by the memory.

20. A machine-readable storage medium having instructions stored thereon, which when executed by a processor cause the processor to be configured to perform the microgrid coordination control method of any of claims 1 to 8.